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Genesis Global
Data Infrastructure
- Hybrid
- 6+ years
Salary
Not stated
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Sign Up to ReadDescription
Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale
Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers
Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets
Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
Excellent software engineering skills (Python, Go, or similar)
Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)
Deep understanding of distributed systems (Spark, Kafka, or similar)
Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)
Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
Bonus: Experience supporting AI systems, in particular embodied AI like self-driving
Responsibilities
- Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale
- Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers
- Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI
- What You’ll Bring
- Excellent software engineering skills (Python, Go, or similar)
- Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)
- Deep understanding of distributed systems (Spark, Kafka, or similar)
- Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)
- Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
- Bonus: Experience supporting AI systems, in particular embodied AI like self-driving
Where you’d work
Part of the week in the office
The office
- London, United KingdomMap for London, United Kingdom (opens in a new tab)
You can work from
- United Kingdom
About the company
Genesis Global
- Industry: AI
Office in London, United Kingdom
Also hiring in Bay Area, United States and Paris, France
1 of their 13 open roles is remote
Fair
Your chances
Worth a look before you spend an evening tailoring a CV for it.
- 19 checks run
- 2 red flags
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6 checks1 red flag
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- Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company- Tech stack
- Python
- Kubernetes
- Kafka
- Spark
- Type
- Full-time
- Industry
- AI
- Specialty
- Data Engineering
- Region
- United Kingdom
- Pay period
- Annual
Show 6 more factsShow less
- Python
- Kubernetes
- Kafka
- Spark
Role
- Category
- Data & Analytics
- Specialty
- Data Engineering
- Experience
- 8+ years
- Tech stack
- Python
- Kubernetes
- Kafka
- Spark
Location
- Work model
- Hybrid
- Region
- United Kingdom
- Office
- London, United Kingdom
- Remote from
- United Kingdom
Compensation
- Salary
- Salary by agreement
- Pay period
- Annual
Employment
- Type
- Full-time
Company
- Industry
- AI
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